Understand the Data: I review the dataset's structure, identify variables, and check for inconsistencies or errors. Handle Missing Data: I either remove or impute missing values, depending on the context and importance of the data. Remove Duplicates: I check for and eliminate any duplicate rows to ensure the integrity of the analysis. Data Transformation: I standardize formats (e.g., dates, currencies), and normalize values if necessary. Outlier Detection: I identify and decide how to handle outliers based on their impact on analysis. Data Validation: I ensure that the cleaned data aligns with the domain knowledge and the analysis